CS Other Presentations

Department of Computer Science - University of Cyprus

Besides Colloquiums, the Department of Computer Science at the University of Cyprus also holds Other Presentations (Research Seminars, PhD Defenses, Short Term Courses, Demonstrations, etc.). These presentations are given by scientists who aim to present preliminary results of their research work and/or other technical material. Other Presentations serve as a forum for educating Computer Science students and related announcements are disseminated to the Department of Computer Science (i.e., the csall list):
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Presentations Coordinator: Demetris Zeinalipour

PhD Defense: Harnessing Electromagnetic Emanations for Power-Delivery Network Characterization, Mr. Zacharias Hadjilambrou (University of Cyprus, Cyprus), Friday, November 8, 2019, 10:00-11:00 EET.


The Department of Computer Science at the University of Cyprus cordially invites you to the PhD Defense entitled:

Harnessing Electromagnetic Emanations for Power-Delivery Network Characterization

Speaker: Mr. Zacharias Hadjilambrou
Affiliation: University of Cyprus, Cyprus
Category: PhD Defense
Location: Room 148, Faculty of Pure and Applied Sciences (FST-01), 1 University Avenue, 2109 Nicosia, Cyprus (directions)
Date: Friday, November 8, 2019
Time: 10:00-11:00 EET
Host: Dr. Yanos Sazeides (yanos-AT-cs.ucy.ac.cy)
URL: https://www.cs.ucy.ac.cy/colloquium/presentations.php#cs.ucy.pres.2019.hadjilambrou

Abstract:
Post-silicon Power-Delivery-Network (PDN) characterization is typically performed using direct voltage measurements through either on-package measurement points or on-chip dedicated circuitry. These approaches consume expensive pad resources or suffer from design-time and run-time overheads. This presentation proposes an alternative non-intrusive, zero-overhead approach for post-silicon PDN characterization based on sensing CPU electromagnetic emanations (EM) using an antenna and a spectrum analyzer. The approach is based on the observation that high amplitude electromagnetic emanations are correlated with high voltage noise. We leverage this observation for measuring the PDN resonance frequency and for voltage margining CPUs with the help of dI/dt stress-tests generated with a genetic algorithm (GA) that maximizes the amplitude of EM emanations. The EM approach is successfully evaluated on five different processors. On all tested processors we are able to successfully monitor PDN oscillations, identify the resonance-frequency and generate dI/dt stress-tests that cause higher voltage-noise and have higher minimum operational voltage (VMIN) than conventional workloads. We also present GeST (Generating Stress-Tests), a GA based framework for automatic stress-test generation that is developed for the needs of this work. To the best of our knowledge GeST is the first publicly available framework for stress-test generation. The key strengths of GeST are its flexibility and extensibility as it provides an easy interface for using and extending the framework.

Short Bio:
Zacharias Hadjilambrou is pursuing a Ph.D. degree in Computer Science at the University of Cyprus. He has received M.Sc. (2015) and B.Sc. (2013) degrees in Computer Science from the same university. He has worked at ARM Research multiple times as an intern. He has been involved in several EU funded research projects. His current research interests include voltage-noise, stress-test development, search-engines and datacenters. He has over 10 publications in conferences and journals such as MICRO and TACO including a best of CAL award in 2017 and a best paper nominee in ISPASS 2019. He is also an active software developer and creator of various popular android applications.

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